Radar digital control method and system

Abstract

The present invention provides a radar digital control method and system, which relates to the field of radar technology. This method obtains radar operating environment parameters and performs similarity matching with historical environmental characteristic patterns in an environmental gene library. This method can quickly identify the characteristics of the current operating environment. It then deploys the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight among multiple historical environmental characteristic patterns with a similarity greater than or equal to a preset threshold to the radar, achieving rapid, automatic, and precise adjustment of radar deployment parameters. This method can quickly adapt the optimal deployment parameters based on the actual operating environment of the radar, effectively improving the radar's anti-interference capability and detection performance, and significantly enhancing the radar's operating efficiency and reliability.

Description

Technical Field

[0001] The present invention relates to the field of radar technology, and in particular to a radar digital control method and system. Background Art

[0002] As environments become increasingly complex, radars are exposed to a variety of interference sources during operation, such as electromagnetic interference. Currently, most aircraft radar parameter control systems utilize pre-set fixed parameter modes or manual adjustments. Fixed parameter modes struggle to adapt to complex and changing operating environments. When the environment changes, the radar's anti-interference capabilities and detection performance significantly decline. Manual adjustments, on the other hand, suffer from slow response speeds and low precision, making it impossible to effectively and promptly address sudden interference situations, severely impacting radar efficiency and reliability. Summary of the Invention

[0003] Embodiments of the present invention provide a radar digital control method and system to address the problem that the parameter control method of existing aircraft radars cannot quickly and accurately adapt to complex and changing working environments. When faced with various interferences, it is difficult to adjust radar parameters in real time to achieve optimal anti-interference effects and detection performance, resulting in low radar operating efficiency and insufficient reliability.

[0004] From a first aspect, an embodiment of the present invention discloses a radar digital control method, comprising the following steps:

[0005] Obtain radar working environment parameters;

[0006] The working environment parameters are matched with the historical environmental characteristic patterns in the environmental gene library for similarity. The environmental gene library stores multiple historical environmental characteristic patterns and their corresponding optimal parameter combinations. Each historical environmental characteristic pattern and its corresponding optimal parameter combination has a reliability weight.

[0007] Multiple historical environmental feature patterns whose similarity with the working environment parameters is greater than or equal to a preset threshold are retrieved from the environmental gene library, and the optimal parameter combination corresponding to the target historical environmental feature pattern with the highest reliability weight among the multiple historical environmental feature patterns is deployed to the radar.

[0008] In one embodiment of the present invention, after deploying the optimal parameter combination corresponding to the target historical environment characteristic pattern to the radar, the method further includes:

[0009] monitoring the radar's operating performance, obtaining first performance data of an optimal parameter combination corresponding to a target's historical environmental characteristic pattern, and performing optimization evaluation on the first performance data;

[0010] If the first performance data meets the standard, the reliability weight of the target historical environmental characteristic pattern and its corresponding optimal parameter combination is maintained;

[0011] If the first performance data does not meet the standard, the reliability weight of the target historical environmental characteristic pattern and its corresponding optimal parameter combination is reduced.

[0012] In one embodiment of the present invention, after deploying the optimal parameter combination corresponding to the target historical environment characteristic pattern to the radar, the method further includes:

[0013] The optimal parameter combinations corresponding to multiple historical environmental characteristic patterns are combined with the working environment parameters to perform performance tests in the radar's digital twin module;

[0014] If the performance test result of the optimal parameter combination corresponding to the target historical environment characteristic pattern with the highest reliability weight meets the standard and the first performance data meets the standard, the current deployment is maintained;

[0015] If the performance test result of the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight does not meet the standard and the first performance data does not meet the standard, the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test result and is the best is selected and deployed to the radar.

[0016] In one embodiment of the present invention, the time length for obtaining the results of performance testing of the optimal parameter combination corresponding to multiple historical environmental feature patterns in the digital twin module of the radar is less than the time length for obtaining the result of whether the first performance data meets the standard.

[0017] In one embodiment of the present invention, the method further includes:

[0018] Comparing the result of whether the first performance data meets the standard with the performance test result of the optimal parameter combination corresponding to the target historical environment characteristic pattern in the digital twin module;

[0019] If the comparison is consistent, normal operation and maintenance information is generated;

[0020] If the comparison is inconsistent, an abnormal operation and maintenance information will be generated.

[0021] In one embodiment of the present invention, after selecting and deploying the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test requirements and is optimal, the method further includes:

[0022] Monitoring the radar's operating performance, obtaining second performance data based on an optimal parameter combination corresponding to an optimal historical environmental characteristic pattern that meets performance test results, and performing optimization evaluation on the second performance data;

[0023] If the second performance data meets the standard, the current deployment is maintained, and the optimal parameter combination corresponding to the performance test result that meets the standard and the optimal historical environmental characteristic pattern is associated and stored in the environmental gene library.

[0024] In one embodiment of the present invention, if the second performance data does not meet the standard, the method further includes:

[0025] Step S1: Based on the working environment parameters, a parameter mutation operation is performed on the optimal parameter combinations corresponding to multiple historical environment characteristic patterns to generate multiple new parameter combinations;

[0026] Step S2: Perform performance tests on multiple new parameter combinations and working environment parameters in the digital twin module of the radar, and select the first target new parameter combination that meets the performance test standards and is optimal and deploy it to the radar;

[0027] Step S3: monitoring the working performance of the radar, obtaining third performance data based on the first target new parameter combination, and performing optimization evaluation on the third performance data;

[0028] Step S4: If the third performance data meets the standard, the current deployment is maintained; if the third performance data does not meet the standard, a second target new parameter combination that meets the standard and is the second best is selected in descending order of performance test results and is deployed to the radar;

[0029] Step S5: Repeat steps S2-S4 or repeat steps S1-S4 until the performance data of the monitoring radar's working performance meets the standard.

[0030] In one embodiment of the present invention, the method further includes:

[0031] receiving manual input information;

[0032] Adjust the optimization evaluation criteria based on manually input information.

[0033] In one embodiment of the present invention, the radar working parameters acquired in real time are continuously matched with the historical environmental feature patterns in the environmental gene library for similarity; the provided method also includes: when one or more of the historical environmental feature patterns in the environmental gene library whose similarity with the working environment parameters is greater than or equal to a preset threshold changes, the optimal parameter combination corresponding to the target historical environmental feature pattern with the highest reliability weight among the multiple historical environmental feature patterns after the change is redeployed to the radar.

[0034] From a second aspect, an embodiment of the present invention further discloses a radar digital control system, comprising:

[0035] Multiple radars and a management platform, wherein the management platform is connected to the multiple radars respectively;

[0036] The management platform is used to execute the radar digital control method as described in the first aspect of the embodiment of the present invention.

[0037] The embodiments of the present invention include the following advantages:

[0038] The radar digital control method provided by the present invention rapidly identifies the characteristics of the current operating environment by acquiring radar operating environment parameters and performing similarity matching with historical environmental characteristic patterns in an environmental gene library. It then deploys the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight among multiple historical environmental characteristic patterns with a similarity greater than or equal to a preset threshold to the radar, achieving rapid, automatic, and precise adjustment of radar deployment parameters. This method can rapidly adapt the optimal deployment parameters to the radar's actual operating environment, effectively improving the radar's anti-interference capability and detection performance, and significantly enhancing its operating efficiency and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0040] Figure 1 This is a flowchart of a radar digital control method according to an embodiment of the present invention;

[0041] Figure 2 The figure is a network diagram of a radar digital control system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0042] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0043] refer to Figure 1 , an embodiment of the present invention provides a radar digital control method, comprising the following steps:

[0044] Step S101, obtaining radar working environment parameters in real time;

[0045] Step S102: performing similarity matching between the working environment parameters and historical environmental characteristic patterns in an environmental gene library. The environmental gene library stores a plurality of historical environmental characteristic patterns and their corresponding optimal parameter combinations. Each historical environmental characteristic pattern and its corresponding optimal parameter combination has a reliability weight.

[0046] Step S103: retrieve multiple historical environmental feature patterns whose similarity with the working environment parameters is greater than or equal to a preset threshold from the environmental gene library, and deploy the optimal parameter combination corresponding to the target historical environmental feature pattern with the highest reliability weight among the multiple historical environmental feature patterns to the radar.

[0047] In various embodiments of the present invention, radar operating environment parameters refer to various physical quantities and characteristic information of the environment in which the radar operates, including but not limited to atmospheric temperature, humidity, air pressure, wind speed, wind direction, electromagnetic interference intensity, topography, and other data. These parameters directly impact the radar's detection performance and signal transmission. The environmental gene library is a storage system that stores multiple historical environmental characteristic patterns, their corresponding optimal parameter combinations, and the reliability weights assigned to each combination. The environmental gene library serves as an empirical database for radar control, providing a reference for adjusting radar deployment parameters based on the current environment. The historical environmental characteristic patterns in the environmental gene library are extracted and summarized from the characteristics of past radar operating environments, representing specific environmental conditions. Each pattern corresponds to a set of optimal parameter combinations verified in practice within that environment. The optimal parameter combination is a set of parameter settings that, for a specific historical environmental characteristic pattern, enables the radar to achieve optimal operating performance within that environmental condition. These settings include but are not limited to deployment parameters such as radar transmit power, signal frequency, beamwidth, and pulse repetition frequency. The reliability weight is used to measure the reliability of each historical environmental characteristic pattern and its corresponding optimal parameter combination. The higher the weight, the higher the credibility of the combination in enabling the radar to achieve good working performance in the corresponding environment.

[0048] In step S102, the currently obtained radar working environment parameters are matched with the historical environmental feature patterns in the environmental gene library for similarity, which can be achieved specifically by calculating the environmental similarity through a graph neural network. After finding multiple historical environmental feature patterns with a similarity greater than or equal to a preset threshold, the target historical environmental feature pattern with the highest reliability weight is retrieved, and its corresponding optimal parameter combination is deployed to the radar. In this way, the radar can quickly adopt the optimal parameter settings of similar historical environmental feature patterns according to the current environment, achieve adaptive adjustment, effectively improve the radar's anti-interference ability and detection performance, and significantly improve the radar's working efficiency and reliability. Optionally, the preset threshold is 0.85.

[0049] After executing step S103 and deploying the optimal parameter combination corresponding to the target historical environmental characteristic pattern to the radar, the present invention can also perform the following method: monitoring the radar's operating performance, obtaining first performance data based on the optimal parameter combination corresponding to the target historical environmental characteristic pattern, and performing an optimization evaluation on the first performance data; if the first performance data meets the requirements, maintaining the reliability weight of the target historical environmental characteristic pattern and its corresponding optimal parameter combination; if the first performance data does not meet the requirements, reducing the reliability weight of the target historical environmental characteristic pattern and its corresponding optimal parameter combination. Specifically, the performance data can include the radar's target recognition accuracy, anti-interference capability, and other indicators. The first, second, and third performance data are merely used to distinguish the descriptive objects and are all the same performance data, such as at least one of the target recognition accuracy and anti-interference capability indicators. By monitoring the radar's operating performance and performing an optimization evaluation, and adjusting the reliability weight based on the optimization evaluation results, the embodiments of the present invention achieve dynamic management and optimization of data in the environmental gene library, enabling the data in the environmental gene library to continuously adapt to new environmental changes and improving the accuracy and reliability of parameter matching.

[0050] Considering that after deploying the optimal parameter combination corresponding to the target historical environmental characteristic pattern to the radar, relying solely on historical data matching may not fully guarantee that this parameter combination will achieve optimal radar performance in the current actual environment, in view of this, while monitoring the radar's operating performance, the following method can also be performed simultaneously: the optimal parameter combinations corresponding to multiple historical environmental characteristic patterns are tested with the operating environment parameters in the radar's digital twin module; if the performance test results of the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight meet the requirements and the first performance data meets the requirements, the current deployment is maintained; if the performance test results of the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight do not meet the requirements and the first performance data does not meet the requirements, the optimal parameter combination corresponding to the historical environmental characteristic pattern with the best performance test results that meets the requirements and is deployed to the radar. The digital twin module is a virtual model corresponding to the actual radar system constructed using digital technology. It can simulate the radar's operating performance under different parameter combinations and environmental conditions. By testing the virtual model, the performance optimization evaluation results of the parameter combination can be quickly obtained without the need for long-term testing on the actual radar system. After deploying the optimal parameter combination corresponding to the target historical environmental characteristic pattern to the radar, the embodiment of the present invention promptly performs performance testing on the optimal parameter combinations corresponding to multiple historical environmental characteristic patterns and the operating environment parameters in the radar's digital twin module while monitoring the radar's operating performance. In this way, if the first performance data obtained from the radar's operating performance test does not meet the requirements, the present invention can quickly obtain an alternative solution (i.e., an optimal parameter combination corresponding to the optimal historical environmental characteristic pattern that meets the performance test requirements) and replace it with the optimal parameter combination corresponding to the target historical environmental characteristic pattern for deployment to the radar.

[0051] Optionally, the time required to obtain the results of a performance test of the optimal parameter combination corresponding to multiple historical environmental characteristic patterns in the radar's digital twin module is less than the time required to obtain a result on whether the first performance data meets the standard. The digital twin module is constructed based on virtual simulation technology. Through mathematical modeling and simulation calculations of the radar system and operating environment, it can quickly simulate the radar's operating performance under different parameter combinations. Compared to performance testing on an actual radar system, the time required is shorter. This can provide an effective reference for radar parameter adjustment in a short period of time, enabling the radar to adapt to environmental changes more quickly and adjust parameters in a timely manner.

[0052] In one embodiment, based on the performance test results of the optimal parameter combination corresponding to the target historical environment characteristic pattern in the digital twin module and the results of whether the first performance data meets the standards, the operation and maintenance status of the digital twin module and the radar can also be detected at the same time. Specifically: the results of whether the first performance data meets the standards can be compared with the performance test results of the optimal parameter combination corresponding to the target historical environment characteristic pattern in the digital twin module; if the comparison is consistent, whether both meet the standards or not, it means that the actual working performance of the radar under the current parameter combination is consistent with the performance predicted by the virtual simulation, and normal operation and maintenance information is generated; if the comparison is inconsistent, for example, the performance test results of the digital twin module meet the standards but the actual first performance data does not meet the standards, or vice versa, it indicates that there may be abnormalities in the actual work of the radar, and abnormal operation and maintenance information is generated to remind the operation and maintenance personnel to conduct further inspection and processing. The operation and maintenance solution of the embodiment of the present invention is simple, direct and effective, and can promptly detect abnormal working status of the radar, provide accurate judgment basis for operation and maintenance personnel, and facilitate timely measures to maintain and adjust the radar to ensure normal and stable operation of the radar.

[0053] In one embodiment, after selecting and deploying the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test results and is the best, the present invention can also perform the following method: monitor the working performance of the radar, obtain second performance data based on the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test results and is the best, and perform optimization evaluation on the second performance data; if the second performance data meets the standards, maintain the current deployment, and associate the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test results and is the best and store it in the environmental gene library. This embodiment provides a further optimization evaluation and optimization mechanism for new parameter combinations, which can ensure the long-term effectiveness and reliability of new parameter combinations, realize the continuous updating and optimization of the environmental gene library, enrich the data resources of the environmental gene library, improve the accuracy and efficiency of radar parameter matching in different environments, and provide more reliable reference basis for subsequent radar parameter adjustment.

[0054] Of course, if the second performance data does not meet the standard, the present invention can also perform the following method:

[0055] Step S1: Based on the working environment parameters, a parameter mutation operation is performed on the optimal parameter combinations corresponding to multiple historical environment characteristic patterns to generate multiple new parameter combinations;

[0056] Step S2: Perform performance tests on multiple new parameter combinations and working environment parameters in the digital twin module of the radar, and select the first target new parameter combination that meets the performance test standards and is optimal and deploy it to the radar;

[0057] Step S3: monitoring the working performance of the radar, obtaining third performance data based on the first target new parameter combination, and performing optimization evaluation on the third performance data;

[0058] Step S4: If the third performance data meets the standard, the current deployment is maintained; if the third performance data does not meet the standard, a second target new parameter combination that meets the standard and is the second best is selected in descending order of performance test results and is deployed to the radar;

[0059] Step S5: Repeat steps S2-S4 or repeat steps S1-S4 until the performance data of the monitoring radar's working performance meets the standard.

[0060] Specifically, the mutation operation can be to apply Gaussian perturbations to one or more of the multiple deployment parameters. Specifically, the optimal parameter combination includes multiple deployment parameters, such as radar transmission power, signal frequency, etc. The mutation operation changes the parameter combination by applying Gaussian perturbations to one or more of these parameters, that is, adding a random number that conforms to the Gaussian distribution to the parameter value. The characteristics of the Gaussian distribution make most of the perturbation values ​​concentrated in a smaller range. When adjusting the parameters, it can introduce certain changes without causing the parameter values ​​to deviate too much. This ensures the rationality of the parameter adjustment while having the opportunity to explore a better parameter combination. Optionally, the amplitude of the Gaussian perturbation is ±5% of the original parameter value.

[0061] Of course, in actual applications, this can also be achieved by exchanging the parameter values ​​of the same parameter in the optimal parameter combinations corresponding to multiple historical environmental feature patterns, so as to obtain a new parameter combination for each historical environmental feature pattern.

[0062] Optionally, the optimal parameter combinations corresponding to multiple historical environmental feature patterns can be sequentially mutated in descending order of similarity to the working environment parameters. This allows prioritizing those historical parameter combinations that are more likely to produce effective new parameter combinations, reducing unnecessary calculations and testing, and improving the efficiency and accuracy of finding parameter combinations suitable for the current environment.

[0063] Through steps S1-S5 above, the embodiment of the present invention can continuously explore and optimize radar parameter combinations in complex and changing environments by continuously performing parameter variations and performance testing when the newly selected parameter combination still fails to achieve satisfactory radar performance, thereby meeting the application's requirements for high radar precision and high reliability. The number of iterations in step S5 above can be optionally set to 2-3.

[0064] It's worth noting that while radar deployment parameters may be changed during operation, these changes are always made to combinations of parameters from historical environmental characteristic patterns whose similarity to the radar's operating environment parameters is greater than or equal to a preset threshold. Therefore, regardless of whether these changes are made, the implementation of the present invention will not affect the radar's basic operating performance. The present invention monitors and optimizes the radar's operating performance, essentially pursuing continuous improvement, aiming to achieve one or more optimal performance outcomes, such as optimal accuracy, strongest anti-interference capabilities, or highest stealth.

[0065] In practical applications, the optimization evaluation criteria can be modified. In one embodiment, the method provided by the present invention may further include: receiving manual input; and adjusting the optimization evaluation criteria based on the manual input. This manual input is manually controlled information. By combining automated system operation, machine learning, and manual policy intervention, the present invention ensures that aircraft radars are provided with deployment parameters that best suit the current operating environment, achieving the desired response.

[0066] In an embodiment of the present invention, steps S101 and S102 are continuously performed, that is, the radar operating parameters obtained in real time are continuously matched with the historical environmental characteristic patterns in the environmental gene library for similarity. When one or more of the historical environmental characteristic patterns in the environmental gene library whose similarity with the working environment parameters is greater than or equal to a preset threshold value changes, it indicates that the current working environment of the radar has changed significantly, and therefore the historical environmental characteristic pattern based on similarity matching in the environmental gene library has also changed. At this time, the parameter deployment strategy based on the original working environment is no longer applicable. Therefore, the present invention currently implements a new strategy to achieve the redeployment of the optimal parameter combination corresponding to the target historical environmental characteristic pattern with the highest reliability weight among the multiple historical environmental characteristic patterns after the change to the radar.

[0067] In practical applications, this can be achieved by promptly redeploying the optimal parameter combination when at least half of the historical environmental characteristic patterns in the environmental gene library, whose similarity to the operating environment parameters is greater than or equal to a preset threshold, change. This real-time dynamic adjustment mechanism ensures that the radar system can continuously adapt to environmental changes and maintain stable and efficient operation.

[0068] On the other hand, the embodiment of the present invention further provides a radar digital control system, referring to Figure 2 , including: multiple radars and a management platform, wherein the management platform is connected to the multiple radars respectively; the management platform is used to execute the radar digital control method as described in the first aspect of the present invention.

[0069] The management platform includes a central processing unit (CPU), an environmental gene library (ERL), a digital twin module, and a parameter execution module. The CPU, utilizing a high-performance embedded computing platform, is responsible for executing parameter matching, evaluation, and decision-making algorithms. The ERL and digital twin modules have been previously explained and will not be elaborated on here. The parameter execution module converts the CPU's decision results into executable parameter configuration instructions for the radar system.

[0070] The radar digital control system provided by the embodiments of the present invention consists of multiple radars and a management platform. The management platform establishes connections with each radar to facilitate data transmission and command issuance. By executing the radar digital control method, the management platform obtains the operating environment parameters of each radar in real time, matches the optimal parameter combination for each radar in an environmental gene library, and adjusts and optimizes the parameters based on the radar's operating performance. The shared environmental gene library enables multiple radars to quickly adapt to the optimal parameters for their respective operating environments, improving overall anti-interference capabilities and detection performance, and ensuring stable and efficient collaborative operation of multiple radars in complex application scenarios.

[0071] In addition, the management platform can also collaboratively manage multiple radars, such as reasonably allocating detection tasks, coordinating operating frequencies between radars, etc., to achieve collaborative work of multiple radars and improve the overall performance and collaborative work capabilities of the radar system.

[0072] It should be noted that the various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same and similar parts between the various embodiments can be referenced to each other.

[0073] It should also be noted that, in this document, the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore should not be understood as limiting the present invention. In addition, relational terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply that there is any actual relationship or order between these entities or operations, nor should they be understood as indicating or implying relative importance. Moreover, the terms "comprises", "includes" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or terminal device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article or terminal device. In the absence of further restrictions, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article or terminal device comprising the element.

[0074] The technical solutions provided by the present invention have been described in detail above. Specific examples are used herein to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is intended only to facilitate understanding of the present invention, and the contents of this specification should not be construed as limiting the present invention. Furthermore, those skilled in the art will appreciate that various modifications may be made to the specific implementation methods and scope of application according to the present invention. It is not necessary and impossible to exhaustively enumerate all implementation methods herein, and any obvious variations or modifications derived therefrom remain within the scope of protection of the present invention.

Claims

1. A radar digital control method, characterized in that: The following steps are involved: Obtain radar working environment parameters; Performing similarity matching between the working environment parameters and historical environmental characteristic patterns in an environmental gene library, wherein the environmental gene library stores a plurality of historical environmental characteristic patterns and their corresponding optimal parameter combinations, each of the historical environmental characteristic patterns and their corresponding optimal parameter combinations having a reliability weight; Retrieving multiple historical environmental feature patterns whose similarity to the working environment parameters is greater than or equal to a preset threshold from the environmental gene library, and deploying the optimal parameter combination corresponding to the target historical environmental feature pattern with the highest reliability weight among the multiple historical environmental feature patterns to the radar; After deploying the optimal parameter combination corresponding to the target historical environment characteristic pattern to the radar, the method further includes: monitoring the operating performance of the radar, obtaining first performance data of an optimal parameter combination corresponding to the target historical environment characteristic pattern, and performing optimization evaluation on the first performance data; If the first performance data meets the standard, maintaining the reliability weight of the target historical environmental characteristic pattern and its corresponding optimal parameter combination; If the first performance data does not meet the standard, the reliability weight of the target historical environment characteristic pattern and its corresponding optimal parameter combination is reduced.

2. The radar digital control method according to claim 1, characterized in that: After deploying the optimal parameter combination corresponding to the target historical environment characteristic pattern to the radar, the method further includes: Performing a performance test on the optimal parameter combination corresponding to the multiple historical environmental feature patterns and the working environment parameters in the digital twin module of the radar; If the performance test result of the optimal parameter combination corresponding to the target historical environment characteristic pattern with the highest reliability weight meets the standard and the first performance data meets the standard, then the current deployment is maintained; If the performance test result of the optimal parameter combination corresponding to the target historical environment characteristic pattern with the highest reliability weight does not meet the standard and the first performance data does not meet the standard, the optimal parameter combination corresponding to the historical environment characteristic pattern with the performance test result meeting the standard and the best is selected and deployed to the radar.

3. The radar digital control method according to claim 2, characterized in that: in, The time duration for obtaining the result of the performance test of the optimal parameter combination corresponding to the multiple historical environmental feature patterns in the digital twin module of the radar is shorter than the time duration for obtaining the result of whether the first performance data meets the standard; The first performance data is obtained by monitoring the working performance of the radar after the optimal parameter combination corresponding to the target historical environment characteristic pattern is deployed on the radar.

4. The radar digital control method according to claim 2, characterized in that: The method further comprises: Comparing the result of whether the first performance data meets the standard with the performance test result of the optimal parameter combination corresponding to the target historical environment characteristic pattern in the digital twin module; If the comparison is consistent, normal operation and maintenance information is generated; If the comparison is inconsistent, an abnormal operation and maintenance information will be generated; The first performance data is obtained by monitoring the working performance of the radar after the optimal parameter combination corresponding to the target historical environment characteristic pattern is deployed on the radar.

5. The radar digital control method according to claim 2, characterized in that: After selecting and deploying the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test requirements and is optimal to the radar, the method further includes: monitoring the operating performance of the radar, obtaining second performance data based on an optimal parameter combination corresponding to an optimal historical environmental characteristic pattern in which the performance test result meets the standard, and performing optimization evaluation on the second performance data; If the second performance data meets the standard, the current deployment is maintained, and the optimal parameter combination corresponding to the historical environmental characteristic pattern that meets the performance test result and is the best is associated and stored in the environmental gene library.

6. The radar digital control method according to claim 1 or 5, characterized in that: The method further comprises: receiving manual input information; The optimization evaluation criteria are adjusted according to the manually input information.

7. The radar digital control method according to claim 1, characterized in that: in ,Continuously match the similarity of the radar working parameters obtained in real time with the historical environmental characteristic patterns in the environmental gene library; The method further comprises: When one or more of the historical environmental feature patterns in the environmental gene library whose similarity with the working environment parameters is greater than or equal to a preset threshold changes, the optimal parameter combination corresponding to the target historical environmental feature pattern with the highest reliability weight among the multiple historical environmental feature patterns after the change is redeployed to the radar.

8. A radar digital control system, characterized in that: include: Multiple radars and a management platform, wherein the management platform is connected to the multiple radars respectively; The management platform is used to execute the radar digital control method according to any one of claims 1 to 7.

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